NIST: NIST Helps Fingerprint Examiners With New Data and Software Release. “A NIST collection of 10,000 fingerprints has now been fully annotated with details that will help train both human fingerprint examiners and AI tools. NIST has also released open-source software that can help evaluate and sort fingerprints according to their quality, potentially helping fingerprint examiners work more […]

#crime #forensics #datasets #fingerprints #NIST #AI

'A NIST collection of 10,000 fingerprints has now been fully annotated with details that will help train both human fingerprint examiners and AI tools.'

https://www.nist.gov/news-events/news/2026/03/nist-helps-fingerprint-examiners-new-data-and-software-release

arXiv: GoogleTrendArchive: A Year-Long Archive of Real-Time Web Search Trends Worldwide. “Unlike Google Trends, which requires specifying search terms in advance, Trending Now captures search queries experiencing real-time surges, offering a way to inductively discover trending patterns across regions for studying collective attention dynamics. However, Google does not provide historical access […]

merve (@mervenoyann)

AI2(Allen Institute for AI)가 포인팅(pointing) 작업에서 SOTA 성능을 목표로 한 새로운 비전 언어 모델 패밀리 'MolmoPoint'를 공개함. 공개된 모델은 MolmoPoint-8B(범용), MolmoPoint-GUI-8B(그래픽 UI용), MolmoPoint-Vid-4B(비디오 내 계수/추적)이며, 관련 데이터셋도 함께 제공됨.

https://x.com/mervenoyann/status/2034343677116531005

#ai2 #molmopoint #visionlm #datasets #sota

Jeff Boudier (@jeffboudier)

GTC 기조연설에서 젠슨은 Hugging Face를 소개하며 NVIDIA AI가 공개한 새로운 오픈 모델, 데이터셋, 블로그를 강조했습니다. 대표 발표로는 추론형 LLM인 Nemotron 3 Super 120A12B와 헬스케어 로보틱스용 데이터셋인 Open-H-Embodiment 등이 포함되어 있습니다.

https://x.com/jeffboudier/status/2033959279510884631

#nvidia #huggingface #nemotron #datasets #healthcare

Chelsea Finn (@chelseabfinn)

연구 결과: 일반적으로 데이터 다양성이 많을수록 좋다고 예상하지만, 크로스-엠바디먼트(cross-embodiment) 전이에는 서로 짝지어진(paired) 서로 다른 엠바디먼트 데이터가 다양성 증가보다 더 유리하다는 발견을 보고합니다. 관련 웹페이지·코드(data-analogies)와 arXiv 논문 링크 제공.

https://x.com/chelseabfinn/status/2033339098694631427

#transferlearning #crossembodiment #datasets #robotics

Vision LLMs may skip training data, but you still need test images.

#ai #vision #datasets

‘Thousands of authors including Kazuo Ishiguro, Philippa Gregory and Richard Osman have published an “empty” #book to protest against #AI firms using their work without permission.’

https://www.theguardian.com/technology/2026/mar/10/thousands-authors-publish-empty-book-protest-ai-work-copyright

Yet #copyright itself has long been criticised as part of broader systems of enclosure and #SettlerViolence. So the assertion of copyright is not a victimless crime, any more than is the training of AI #chatbots and image generators on vast #datasets (often scraped without permission from the open web, digital repositories and shadow or #pirate libraries containing copyrighted books).

So what exactly is being defended here? Do the authors protesting against the training of AI really not know the long history of critique of copyright? Or do they know perfectly and are just too selfish and are profiting too much from it themselves to want to challenge it or think of something different?

#DefundCulture